Internet traffic classification has been the subject of intensive study since the birth of the
Internet itself. Indeed, the evolution of approaches for traffic classification can be associated …

Upgrading a power grid to a smart grid is a challenging task. For example, since power grids
were originally developed to support unidirectional communications, the migration process …

Deep packet inspection (DPI) is widely used in content-aware network applications such as
network intrusion detection systems, traffic billing, load balancing, and government …

Most of the security threats in various communications networks are posed by the illegitimate
entities that enter or intrude within the network perimeter, which could commonly be termed …

Statistics from security firms, research institutions and government organizations show that
the number of data-leak instances have grown rapidly in recent years. Among various data …

With the speedy advancement of encryption technology and the exponential increase in
applications, network traffic classification has become an increasingly important research …

Traffic classification is the first step in network anomaly detection and is essential to network
security. However, existing malicious traffic classification methods have several limitations; …

The leak of sensitive data on computer systems poses a serious threat to organizational
security. Statistics show that the lack of proper encryption on files and communications due …

Non-photorealistic rendering (NPR) has been shown as a powerful way to enhance both
visual coherence and immersion in augmented reality (AR). However, it has only been …

Multi-match packet classification is a critical function in network intrusion detection systems
(NIDS), where all matching rules for a packet need to be reported. Most of the previous work …